These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
212 related articles for article (PubMed ID: 25697371)
1. A Latent Transition Analysis Model for Latent-State-Dependent Nonignorable Missingness. Sterba SK Psychometrika; 2016 Jun; 81(2):506-34. PubMed ID: 25697371 [TBL] [Abstract][Full Text] [Related]
2. A Bayesian Latent Variable Selection Model for Nonignorable Missingness. Du H; Enders C; Keller BT; Bradbury TN; Karney BR Multivariate Behav Res; 2022; 57(2-3):478-512. PubMed ID: 33529056 [TBL] [Abstract][Full Text] [Related]
3. A Two-Step Approach for Analysis of Nonignorable Missing Outcomes in Longitudinal Regression: an Application to Upstate KIDS Study. Liu D; Yeung EH; McLain AC; Xie Y; Buck Louis GM; Sundaram R Paediatr Perinat Epidemiol; 2017 Sep; 31(5):468-478. PubMed ID: 28767145 [TBL] [Abstract][Full Text] [Related]
4. Bayesian pattern-mixture models for dropout and intermittently missing data in longitudinal data analysis. Blozis SA Behav Res Methods; 2024 Mar; 56(3):1953-1967. PubMed ID: 37221346 [TBL] [Abstract][Full Text] [Related]
6. Adjusting for nonignorable missingness when estimating generalized additive models. Xie H Biom J; 2010 Apr; 52(2):186-200. PubMed ID: 20422637 [TBL] [Abstract][Full Text] [Related]
7. Empirical Likelihood in Nonignorable Covariate-Missing Data Problems. Xie Y; Zhang B Int J Biostat; 2017 Apr; 13(1):. PubMed ID: 28441139 [TBL] [Abstract][Full Text] [Related]
8. A semi-parametric shared parameter model to handle nonmonotone nonignorable missingness. Tsonaka R; Verbeke G; Lesaffre E Biometrics; 2009 Mar; 65(1):81-7. PubMed ID: 18373713 [TBL] [Abstract][Full Text] [Related]
9. Bayesian Two-Part Tobit Models with Left-Censoring, Skewness, and Nonignorable Missingness. Dagne GA; Huang Y J Biopharm Stat; 2015; 25(4):714-30. PubMed ID: 24905924 [TBL] [Abstract][Full Text] [Related]
10. Treatment of nonignorable missing data when modeling unobserved heterogeneity with finite mixture models. Lehmann T; Schlattmann P Biom J; 2017 Jan; 59(1):159-171. PubMed ID: 27804147 [TBL] [Abstract][Full Text] [Related]
11. Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness. Zhang J; Chu H; Hong H; Virnig BA; Carlin BP Stat Methods Med Res; 2017 Oct; 26(5):2227-2243. PubMed ID: 26220535 [TBL] [Abstract][Full Text] [Related]
12. Treatment effects in randomized longitudinal trials with different types of nonignorable dropout. Yang M; Maxwell SE Psychol Methods; 2014 Jun; 19(2):188-210. PubMed ID: 24079928 [TBL] [Abstract][Full Text] [Related]
13. Markov transition models for binary repeated measures with ignorable and nonignorable missing values. Xiaowei Yang ; Shoptaw S; Kun Nie ; Juanmei Liu ; Belin TR Stat Methods Med Res; 2007 Aug; 16(4):347-64. PubMed ID: 17715161 [TBL] [Abstract][Full Text] [Related]
15. Missing not at random models for latent growth curve analyses. Enders CK Psychol Methods; 2011 Mar; 16(1):1-16. PubMed ID: 21381816 [TBL] [Abstract][Full Text] [Related]
16. Random effects and latent processes approaches for analyzing binary longitudinal data with missingness: a comparison of approaches using opiate clinical trial data. Albert PS; Follmann DA Stat Methods Med Res; 2007 Oct; 16(5):417-39. PubMed ID: 17656452 [TBL] [Abstract][Full Text] [Related]
17. A correlated random-effects model for normal longitudinal data with nonignorable missingness. Lin H; Liu D; Zhou XH Stat Med; 2010 Jan; 29(2):236-47. PubMed ID: 19941316 [TBL] [Abstract][Full Text] [Related]
18. Pattern Recognition of Longitudinal Trial Data with Nonignorable Missingness: An Empirical Case Study. Fang H; Espy KA; Rizzo ML; Stopp C; Wiebe SA; Stroup WW Int J Inf Technol Decis Mak; 2009 Sep; 8(3):491-513. PubMed ID: 20336179 [TBL] [Abstract][Full Text] [Related]
19. Sensitivity analyses for data missing at random versus missing not at random using latent growth modelling: a practical guide for randomised controlled trials. Staudt A; Freyer-Adam J; Ittermann T; Meyer C; Bischof G; John U; Baumann S BMC Med Res Methodol; 2022 Sep; 22(1):250. PubMed ID: 36153489 [TBL] [Abstract][Full Text] [Related]
20. Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout. Lee M; Lee K; Lee J Biom J; 2014 Mar; 56(2):230-42. PubMed ID: 24430985 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]